Zhu Liang, Ha Trung Dung, Chen Yi-Huan, Huang Haiyu, Chen Pai-Yen
IEEE Trans Biomed Circuits Syst. 2022 Feb;16(1):129-137. doi: 10.1109/TBCAS.2022.3148725. Epub 2022 May 9.
Cough detection has aroused great interest because the assessment of cough frequency may improve diagnosis accuracy for dealing with several diseases, such as chronic obstructive pulmonary disease (COPD) and the recent COVID-19 global pandemic crisis. Here, we propose and experimentally demonstrate a wireless smart face mask based on a passive harmonic tag for real-time cough monitoring and alert. Our results show that the cough events can be successfully monitored through non-contact track of the received signal strength indicator (RSSI) at the harmonic frequency. Owing to the frequency orthogonality between the launched and backscattered radio-frequency (RF) signals, the harmonic tag-based smart mask can well suppress the electromagnetic interferences, such as clutters and crosstalks in noisy environments. We envision that this zero-power and lightweight wireless wearable device may be beneficial for cough monitoring and the public health condition in terms of tracking potential contagious person and virus-transmissive events.
咳嗽检测引起了极大的兴趣,因为咳嗽频率的评估可能会提高对慢性阻塞性肺疾病(COPD)以及近期新冠疫情全球大流行危机等多种疾病的诊断准确性。在此,我们提出并通过实验证明了一种基于无源谐波标签的无线智能口罩,用于实时咳嗽监测和警报。我们的结果表明,通过在谐波频率下对接收信号强度指示(RSSI)进行非接触式跟踪,可以成功监测咳嗽事件。由于发射和反向散射射频(RF)信号之间的频率正交性,基于谐波标签的智能口罩能够很好地抑制嘈杂环境中的电磁干扰,如杂波和串扰。我们设想,这种零功耗、轻量化的无线可穿戴设备在追踪潜在传染源和病毒传播事件方面,可能对咳嗽监测和公共卫生状况有益。